Towards an Architectural Design Framework for Data Management in Industry 4.0

Eduardo A. Hinojosa-Palafox, Oscar M. Rodriguez-Elias, Jose A. Hoyo-Montano, Jesus H. Pacheco-Ramirez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

This paper describes data management architecture for industries 4.0. The main contribution was the framework design of a platform that will support the integration from industrial Cyber-Physical Systems (iCFS), the demanding IoT environment, and communications with the cloud. The aim of such a platform will be allowing modeling of data elements, predictive functions, inference of the Key-Performance Indicators, and real-time analysis. We adopted an Attribute Driven Design (ADD) approach to architectural design that includes gathering requirements, from smart production planning, manufacturing process monitoring, and active preventive maintenance, repair and overhaul (MRO). We detail quality data management attributes and his constraints and concerns. The platform will be supporting both batch and stream data processing for the composition of data-driven events, optimization data services, embedded analytics, and analytics-based decision support. The deployed architecture view mapping across technologies and functional components covering all functional requirements, using technologies that are accessible under an open source license without any usage limitations.

Original languageEnglish
Title of host publicationProceedings - 2019 7th International Conference in Software Engineering Research and Innovation, CONISOFT 2019
EditorsReyes Juarez-Ramirez, Carlos Alberto Fernandez y Fernandez, Samantha Paulina Jimenez Calleros, Alan David Ramirez-Noriega, Hector G. Perez-Gonzalez, Guillermo Licea Sandoval, Cesar Arturo Guerra-Garcia
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages191-200
Number of pages10
ISBN (Electronic)9781728125244
DOIs
StatePublished - Oct 2019
Event7th International Conference in Software Engineering Research and Innovation, CONISOFT 2019 - Mexico City, Mexico
Duration: 23 Oct 201925 Oct 2019

Publication series

NameProceedings - 2019 7th International Conference in Software Engineering Research and Innovation, CONISOFT 2019

Conference

Conference7th International Conference in Software Engineering Research and Innovation, CONISOFT 2019
Country/TerritoryMexico
CityMexico City
Period23/10/1925/10/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

  • Architectural Design
  • Big Data
  • Cloud Computing
  • Industry 4.0
  • Internet of Things

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